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IJHCS
Published by Research Parks Publishing
ISSN : 26151898     EISSN : 26158159     DOI : https://doi.org/10.31149/ijhcs.v7i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Neuroscience
The International Journal of Human Computing Studies (IJHCS) publishes original research over the whole spectrum of work relevant to the theory and practice of modern interactive systems of the contemporary world. IJHCS accepts papers in forms of original research articles, review articles, book reviews, case reports, and discussions to answer important and interesting questions of the innovative research points.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 3 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2020): IJHCS" : 3 Documents clear
Optimization and control in the chemical processes Pulotova Mokhira Rakhmatilloyevna
International Journal of Human Computing Studies Vol. 2 No. 1 (2020): IJHCS
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v2i1.351

Abstract

Control is a good alternative solution to obtain the desired product yield and still maintain the safety conditions, without changing the system’s configuration or replacing the existent components with new ones. A mathematical model of a thermal cracking coil was developed, based on free radical mechanism and some basic assumptions. In order to predict the coil’s behavior (temperature, product yields and pressure), a simulator for the dynamic process was used. This paper represents a preliminary dynamic behavior study for implementing advanced process control and optimization.
Multivariate imputation for missing data handling a case study on small and large data sets Yagyanath Rimal
International Journal of Human Computing Studies Vol. 2 No. 1 (2020): IJHCS
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v2i1.352

Abstract

Abscent of records generally termed as missing data which should be treated properly before analysis procedes in data analysis. There were many researchers who undoubtedly mislead their research findings without proper treatment of missing data, therefore this review research try to explain the best ways of missing data handling using r programming. Generally, many researchers apply mean and median imputation but this sometimes creates bios in many situations, therefore, the researcher tries to explain some basic association among other research variables with treating missing data using r programming. The imputation process suggests five alternatives be replaced for missing data values were generated automatically and substituted easily at the process of data cleaning and data preparation. Here researcher explains two sample data for missing treatment and explains many ways for graphical interpretation of them. The first data set with 12 observation describes the easiest way of missing replacement and the second vehicle failure data from internet of 1624 records, whose missing pattern were calculated and replaced with to the respective data sets before analysis.
ANALYSIS OF THE TYPE OF APPROXIMATION OF THE MAGNETIZATION CURVE FOR ELECTROMAGNETIC CONVERTERS OF HIGH CURRENTS Juraeva Kamila Komilovna; Rustemova Aynura Rustemovna
International Journal of Human Computing Studies Vol. 2 No. 1 (2020): IJHCS
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v2i1.932

Abstract

In the article discuss analyzes the type of approximation of the magnetization curve of a direct current, alternating current, direct current and alternating current magnetic circuit in order to calculate the magnetic circuits of high-current electromagnetic transducers.

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